AI Research Scientist in San Francisco

Qualifications

• Technical Depth - Tackle open-ended scientific problems involving large-scale models, complex biological data, and first-principles reasoning
• PhD in Machine Learning, Computational Biology, Bioinformatics
• Strong research track record through publications, projects, or demonstrable impact
• Proficiency in Python and deep-learning frameworks (e.g.

PyTorch)

• Experience working with molecular, chemical, or biological datasets
• Familiarity with advanced modelling techniques such as representation learning, generative models, multitask learning, or uncertainty-aware methods

Benefits

• Real-World Deployment - Your research will be translated directly into active discovery programmes, not left on a shelf
• Salary up to $350,000K + benefits and equity options

Responsibilities

• Conduct original research on ML methods for molecular and biological modelling
• Develop, train, and evaluate advanced deep-learning models for small molecules, antibody, proteins, or related systems
• Design modelling experiments to answer ambiguous scientific questions
• Collaborate closely with experimental scientists to translate model outputs into actionable insights
• Support validation, iteration, and deployment of models used in live discovery workflows

Full Description

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Job Description

About the Role

Our client - a frontier AI research company at the cutting edge of molecular design is hiring AI Research Scientists, Computational Biology, to join their growing research team.

Founded by researchers and operators from leading AI4Biology labs and top technology companies, the team is building next- models that move beyond benchmarks into real-world therapeutic development.

Backed by world-class investors, including Thrive Capital, Dimension, OpenAI, Amplify, they are scaling their research efforts to tackle some of the most challenging problems in drug discovery.

Why Join?

• Frontier Research - Work alongside world-leading researchers pushing the boundaries of AI for molecular and biological modelling

• Real-World Deployment - Your research will be translated directly into active discovery programmes, not left on a shelf

• Technical Depth - Tackle open-ended scientific problems involving large-scale models, complex biological data, and first-principles reasoning

• Meaningful Impact - Help design technologies that have the potential to change how new therapies are created

Who We’re Looking For:

We’re seeking exceptional PhD Grad to Senior-Level AI Research Scientists, Computational Biology, with a strong research background and a drive to apply cutting-edge machine learning to real therapeutic challenges.

Your Responsibilities:

• Conduct original research on ML methods for molecular and biological modelling

• Develop, train, and evaluate advanced deep-learning models for small molecules, antibody, proteins, or related systems

• Design modelling experiments to answer ambiguous scientific questions

• Collaborate closely with experimental scientists to translate model outputs into actionable insights

• Support validation, iteration, and deployment of models used in live discovery workflows

What We’re Looking For:

• PhD in Machine Learning, Computational Biology, Bioinformatics

• Strong research track record through publications, projects, or demonstrable impact

• Proficiency in Python and deep-learning frameworks (e.g.

PyTorch)

• Experience working with molecular, chemical, or biological datasets

• Familiarity with advanced modelling techniques such as representation learning, generative models, multitask learning, or uncertainty-aware methods

Locations:

San Francisco

Package:

Salary up to $350,000K + benefits and equity options

Ready to help shape the future of AI-driven drug discovery?

Apply now.

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Energy Jobline wishes you the very best of luck in your next career move.